<?xml version="1.0" encoding="UTF-8"?>
<STUDY_SET xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
  <STUDY center_name="GEO" alias="GSE96612" accession="SRP101887">
    <IDENTIFIERS>
      <PRIMARY_ID>SRP101887</PRIMARY_ID>
      <EXTERNAL_ID namespace="BioProject" label="primary">PRJNA379177</EXTERNAL_ID>
      <EXTERNAL_ID namespace="GEO">GSE96612</EXTERNAL_ID>
    </IDENTIFIERS>
    <DESCRIPTOR>
      <STUDY_TITLE>Neuronal brain region-specific DNA methylation and chromatin accessibility are associated with neuropsychiatric trait heritability [Bisulfite-Seq]</STUDY_TITLE>
      <STUDY_TYPE existing_study_type="Other"/>
      <STUDY_ABSTRACT>We analyzed differential methylation (via WGBS) between four distinct human brain regions (NAcc-nucleus accumbens, BA9-dorsolateral prefrontal cortex, BA24-anterior cingulate cortex, and HC-hippocampus) in both sorted nuclei and intact tissues. We isolated neuronal and non-neuronal (glial) nuclei from the same six individuals for each tissue via FACS using the neuronal marker, NeuN. Additionally, we performed WGBS from non-sorted tissues from these same brain regions in a total of 12 individuals (BA9 n = 9; BA24 n = 5; HC n = 6; NAcc n = 7). To complement our DNA methylation analyses, we measured gene expression (RNA-seq) and chromatin accessibility (ATAC-seq) in neuronal and non-neuronal nuclei from the nucleus accumbens and dorsolateral prefrontal cortex from six more individuals. We then performed an integrative analysis to understand how the epigenome contributes to brain region-specific function. Overall design: 72 WGBS libraries were sequenced (from intact tissue (27 libraries) and NeuN+ and NeuN- flow sorted nuclei (45 libraries)) from hippocampus, nucleus accumbens, prefrontal cortex (BA9), and anterior cingulate gyrus (BA24). RNA-seq (20 libraries) and ATAC-seq (23 libraries) data from NeuN+ and NeuN- flow sorted nuclei from the nucleus accumbens and prefrontal cortex (BA9) were also obtained.</STUDY_ABSTRACT>
      <CENTER_PROJECT_NAME>GSE96612</CENTER_PROJECT_NAME>
    </DESCRIPTOR>
    <STUDY_LINKS>
      <STUDY_LINK>
        <XREF_LINK>
          <DB>pubmed</DB>
          <ID>30643296</ID>
        </XREF_LINK>
      </STUDY_LINK>
    </STUDY_LINKS>
    <STUDY_ATTRIBUTES>
      <STUDY_ATTRIBUTE>
        <TAG>parent_bioproject</TAG>
        <VALUE>PRJNA379173</VALUE>
      </STUDY_ATTRIBUTE>
    </STUDY_ATTRIBUTES>
  </STUDY>
</STUDY_SET>
